Issue Tracking Notification Suppression for Meeting Attendance
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Solution Overview
Problem
Issue tracking systems generate unnecessary notifications during meetings, distracting team members who are physically present and aware of the updates, as each update or change is sent to all team members, regardless of their attendance.
Innovation Solution
The system determines the likelihood of user attendance and suppresses notifications for devices associated with users attending a live meeting, using proximity estimates and calendar activity, to temporarily mute notifications for attendees while maintaining normal notification transmission for non-attendees.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If notifications are sent to all team members for each update, then information is delivered to everyone, but team members attending meetings are distracted by redundant notifications
Solution Approach 1:
The system applies different notification behaviors to different user groups based on their attendance status. Attendees at live meetings receive suppressed notifications, while non-attendees receive normal notifications. This local differentiation resolves the contradiction by tailoring notification delivery to the specific context of each user.
Solution Approach 2:
The notification delivery mechanism is made dynamic and adaptive. The system continuously determines user attendance status and adjusts notification behavior accordingly. This dynamic approach allows the system to respond to changing meeting conditions and user states in real-time.
2Object-affected harmful factors
If notifications are suppressed for meeting attendees, then distraction is reduced, but non-attendees may not receive timely updates
Solution Approach 1:
The system implements selective notification suppression based on user attendance status. By locally differentiating between attendees and non-attendees, the system ensures that suppression only applies where needed (to attendees) while maintaining normal delivery for those who require it (non-attendees).
Solution Approach 2:
The system uses feedback mechanisms to determine user attendance status through proximity detection, calendar event participation, and user profile data. This feedback loop enables the system to accurately identify who should receive suppressed notifications and who should receive normal notifications, resolving the information delivery concern.
3Measurement precision
If the system determines user attendance likelihood, then notification suppression accuracy improves, but system complexity increases
Solution Approach 1:
The system uses a multi-functional approach to determine attendance status by combining multiple data sources and methods. The same infrastructure serves multiple purposes: proximity detection, calendar event matching, user profile analysis, and real-time status determination. This universal approach improves accuracy without proportionally increasing complexity.
Data Source
AI summary
An issue tracking system configured to track issues, tickets, or tasks is described herein. The issue tracking system may be used to create, modify, and delete issue records during a live meeting or event. The issue tracking system may be adapted to determine a likelihood of user attendance or user proximity and, in accordance with the likelihood exceeding a threshold or meeting a criteria, suppress transmission of notifications to a subset of user devices. Normal or unsuppressed notification transmission is maintained to another subset of user devices.